DocumentCode :
1741173
Title :
Verification of output factors for small photon beams using Monte Carlo methods
Author :
Bezrukiy, Nikita V. ; DeMarco, John J. ; Chetty, Indrin ; Smathers, James B. ; Solberg, Timothy D.
Author_Institution :
Dept. of Radiat. Oncology, California Univ., Los Angeles, CA, USA
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1831
Abstract :
In order to achieve acceptable radiosurgery delivery with small photon beams, it is important to know the radiation characteristics of the beams produced. One problem is that the finite volume of standard detectors (ion chambers, solid state detectors) causes uncertainties in measurements of parameters for small beams. This investigation presents a computational verification of measurements of dosimetric parameters of small photon beams. Circular fields (as small as 3 mm in diameter) were simulated using MC methods to verify beam characteristics. The standard release of the MCNP4b (Monte Carlo N-Particle, version 4b) software from Los Alamos National Lab was used to perform the calculations. Due to very small tally volumes, large numbers of histories were needed to achieve acceptable statistics on our results. Parallel computing techniques, utilizing the Parallel Virtual Machine (PVM) software, were employed to reduce calculation times. Originally developed- for Unix platforms, the authors have implemented PVM on a cluster of non-dedicated, general purpose PCs running Windows NT. This serves as a low cost, high performance computing resource. Output factors calculated with MCNP agreed within 2.05% (maximum for any collimator size) with those determined by direct measurement for all field sizes above 7 mm in diameter. Below this value, larger discrepancies were observed and Monte Carlo is thought to be the superior technique in determining the output factors. Parallel processing using PVM proved to be a very useful tool in reducing the calculation time of the MCNP4b code
Keywords :
Monte Carlo methods; dosimetry; radiation therapy; surgery; 3 mm; 7 mm; Monte Carlo methods; acceptable radiosurgery delivery; beam radiation characteristics; ion chambers; output factors verification; parameter measurement uncertainties; radiotherapy dosimetry; small photon beams; solid state detectors; Computational modeling; Measurement standards; Measurement uncertainty; Monte Carlo methods; Optical computing; Parallel processing; Software performance; Software standards; Solid state circuits; Volume measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.900441
Filename :
900441
Link To Document :
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